Data Engineer / DataOps (H/F)
Tasks
- Automate continuous deployment
- Build and run ETL pipelines
- Coordinate project rituals and validation workflows
- Create data engineering documentation
- Deploy real time data streaming architectures
- Design and develop data ingestion pipelines
- Drive continuous improvement of data platforms
- Ensure security compliance for data flows
- Implement data quality and integrity controls
- Implement observability with Elasticsearch
- Monitor production using metrics and logs
- Optimize spark performance
- Set up CI/CD pipelines
- Support data governance and data lineage
- Support platform operation with data scientists and business teams
- Tune distributed data processing performance
Perks/Benefits
Skills/Tech-stack
Agile | Amazon S3 | Apache Iceberg | Apache Kafka | Apache Spark | Azure DevOps | DevOps | Docker | Elastic Stack | Elasticsearch | GitLab CI | Java | Jenkins | Kibana | Logstash | Minio | PySpark | Python | SQL | Scrum | Spring Boot | Trino
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Data Engineer / DataOps | DataOps Engineer | Engineer
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